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Dijkstra's algorithm is one of the algorithms in graph theory that is used to solve the problem of the shortest path of a graph at each vertex that has a non-negative value. This algorithm was discovered by Edsger Wybe Dijkstra, a scientist from the Netherlands. The search for the shortest route for product delivery can be calculated through the application of the Dijkstra algorithm in the problem being faced. The problem of decision making for selecting the shortest route is still manual, so it experiences several obstacles, including the absence of a systematic and computerized system to assist the decision-making process in determining the route for shipping goods, the determination of shipping routes still depends on manual estimates so that the time taken between deliveries becomes inconsistent, the operational costs of shipping are relatively high because there is no optimal route determination system. Facing these problems, a system is needed that can minimize delays and increase effectiveness in shipping goods, namely determining the shortest route using the Dijkstra algorithm. This system works by finding various alternative routes for shipping goods at PT AMSA to address various structured and unstructured problems using data and models. To process this data and models, a method called the Dijkstra algorithm is required. Based on the description above, researchers will create a method for determining the shortest route for shipping goods at PT AMSA using the Dijkstra algorithm to facilitate the company's process of determining the shortest route.

The transition from paper-based to Computer-Based Test (CBT) in the Academic Potential Test (TPA) for state university entrance selections has significantly transformed the educational assessment landscape. This conceptual study aims to evaluate the instruments of CBT-based TPA, focusing on validity, reliability, fairness, and technological infrastructure constraints. Employing a systematic literature review approach, this research synthesizes various foundational theories of educational measurement, specifically Item Response Theory (IRT) and Computerized Adaptive Testing (CAT), alongside contemporary empirical findings from the last five years. The findings indicate that while CBT offers enhanced administrative efficiency and rapid grading, the validity of the instruments is frequently challenged by item exposure and the diverse digital literacy levels of test-takers. Furthermore, infrastructural disparities among regions pose a significant threat to testing fairness. The implication of this study suggests the urgent need for a dynamic item bank generation system and the implementation of adaptive testing to mitigate cheating and ensure equitable assessment. Future educational policies must bridge the digital divide before uniformly mandating CBT. Ultimately, this review provides a comprehensive framework for test developers to refine CBT TPA instruments, ensuring they genuinely measure academic potential rather than technological proficiency.

Pregnancy is a physiological process that occurs in women, approximately 50% of women at the beginning of their pregnancy experience nausea and vomiting to varying degrees. Nausea and vomiting usually occur in the morning during early pregnancy or the first trimester, which is called morning sickness. There are many methods of treating nausea. and vomiting in pregnant women in the first trimester, both pharmacological and non-pharmacological. One non-pharmacological way is to use lemon, lavender and peppermint aromatherapy. This research method uses a literature review which includes a systematic search study of computerized databases (Google School and PubMed) taken within the last 5 years from 2019-2024. The articles obtained in the search were 12 journals, but after reviewing the articles and adjusting them to the titles, there were 5 journals. Conclusion: Lemon and peppermint aromatherapy have the same effectiveness in reducing nausea and vomiting in pregnant women, while lemon aromatherapy is more effective than lavender aromatherapy.

The rapid development of information technology has provided significant opportunities to improve the efficiency of academic administration in schools. One of the common problems faced by educational institutions is the manual process of subject scheduling, which is time-consuming and prone to schedule conflicts among teachers, classes, and learning time. This problem is also experienced by SMPK Flos Carmeli, where the preparation of subject schedules has not yet been supported by an integrated computerized system. This study aims to design and develop a web-based subject scheduling application at SMPK Flos Carmeli using the Model–View–Controller (MVC) architecture. The research method employed is Research and Development (R&D) with the Waterfall software development model, which includes the stages of requirements analysis, system design, and application implementation. Data were collected through interviews, observations, and literature review to obtain system requirements that align with the school’s conditions. The application was developed using native PHP with the implementation of the MVC pattern to produce a structured, maintainable, and flexible system. The results show that the developed application is able to support the subject scheduling process in a faster, more accurate, and well-organized manner. The system provides features for managing teacher data, class data, time slots, schedule arrangement, and schedule printing, thereby minimizing schedule conflicts and improving the efficiency of school administrative work. Therefore, this subject scheduling application is expected to support the digitalization of academic administration and enhance the effectiveness of the teaching and learning process at SMPK Flos Carmeli.